10-Year Roadmap for AI + Hardware (UIUC, UCLA, Stanford et al.)


Researchers from University of Illinois Urbana-Champaign, UCLA, Stanford University, Nvidia, Google, et al. have released “AI+HW 2035: Shaping the Next Decade”. Abstract “Artificial intelligence (AI) and hardware (HW) are advancing at unprecedented rates, yet their trajectories have become inseparably intertwined. The global research community lacks a cohesive, long-term vision t... » read more

Optimal Heterogeneous Memory Configs for AI Tasks Under Specified Performance Metrics (Stanford, UCSC)


Researchers from Stanford University and University of California, Santa Cruz have released “Heterogeneous Memory Design Exploration for AI Accelerators with a Gain Cell Memory Compiler”. Abstract “As memory increasingly dominates system cost and energy, heterogeneous on-chip memory systems that combine technologies with complementary characteristics are becoming essential. Gain ... » read more

Chip Industry Week in Review


The IEEE ISSCC conference was held this week in San Francisco. Among the highlights: IBM detailed an AI accelerator based on its new inferencing dataflow architecture. CEA-Leti presented a chip-scale, ultra-fast, battery-operated EPR spectrometer. QuTech introduced a cryo-CMOS SoC with NV centers in diamond. UTokyo showed its low-jitter PLL architecture for beyond 5G/6G. Imec d... » read more

Research Bits: Feb. 17


Analog layout foundation model Researchers from Pohang University of Science and Technology (POSTECH) built a foundation model for automated analog circuit layout. The team used a self-supervised learning approach, in which the model learns without human-provided labels. To counter a lack of available training data, the team divided analog layouts into small patches, masked part of each lay... » read more

Chip Industry Week In Review


Big deals and fundings Teradyne and MultiLane are forming a joint venture, MultiLane Test Products (MLTP), to accelerate the development of test solutions for high speed data connections.  Teradyne will be the majority owner. Ricursive Intelligence raised $300M Series A for AI-driven IC design. IonQ plans to acquire SkyWater for ~$1.8B, creating a "vertically integrated full-stack q... » read more

Oxides Bring Low Leakage Transistors To Leading-Edge Memories


AI workloads need to position more memory that uses less power in ever-closer proximity to computational logic. That overriding imperative is driving new memory designs and new materials exploration across a wide range of applications, including cache memory, working memory, as well as a new category, non-volatile memory used for direct computation. The largest of these, by volume, is workin... » read more

Research Bits: Jan. 12


Wafer-scale two-photon lithography Researchers from Lawrence Livermore National Laboratory (LLNL) and Stanford University demonstrated a two-photon lithography (TPL) platform for wafer-scale manufacturing. The TPL platform uses large arrays of metalenses to split a femtosecond laser into more than 120,000 coordinated focal spots that write simultaneously across centimeter-scale areas. The a... » read more

Chip Industry Week in Review


SIA's latest monthly global semiconductor sales report reflects a ~30% YOY increase, hitting a record $75.3B in November 2025. Asia Pacific had a notable 66% increase. Cadence launched its Chiplet Spec-to-Packaged Parts ecosystem to accelerate time to market for chiplet development for physical AI, data centers, and HPC applications. Initial IP partners joining Cadence include Arm, Arteris, ... » read more

Chip Industry Technical Paper Roundup: Jan 6


New technical papers recently added to Semiconductor Engineering’s library: [table id=510 /] Find more semiconductor research papers here. » read more

Channel-Last GAA NS Oxide FET (Stanford, TSMC, ETH Zurich et al.)


A new technical paper titled "Channel-last gate-all-around nanosheet oxide semiconductor transistors" was published by researchers at Stanford University, TSMC, ETH Zurich, SLAC National Accelerator Laboratory, and Polish Academy of Sciences. Abstract "As we move beyond the era of transistor miniaturization, back-end-of-line-compatible transistors that can be stacked monolithically in the t... » read more

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